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tiqu
- 提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。-Extraction based on instantaneous information signal of seven
bl11
- 采用信号包络和差分方式进行信号模式识别，通过变换产生时域解析信号SKH ，即信号的复包络，得到零中心归一化瞬时绝对值的标准偏差。 -Differential use of signal envelope and the way the signal pattern recognition, transformation generated by time domain analytic signal SKH, the signal complex envelope, zero-center
EMD-hilbert-IMF
- 本程序主要通过EMD和hilbert求IMF，作出HHT归一化能量谱图（三维图），边际谱图和瞬时能量图，并做完备性验证，比较好用-This program mainly by EMD and Hilbert and the IMF, make the HHT normalized energy spectra (three-dimensional figure), marginal spectrum and instantaneous energy diagram, completeness,
facedetection
- Abstract—In this paper, a new lossy technique based on wavelet transform for compression of breast ultrasound images is presented. The experiments are performed on 16 different wavelet functions and the quality of reconstructed images is eval
DSP_3_17_2
- 产生随机信号观测样本，不同信噪比和归一化频率。分别用BT法和周期图法估计功率谱密度。-Generate random signal observation samples, different signal to noise ratio and normalized frequency.Using method of BT and cycle diagram method to estimate the power spectral density.
12345
- 了解光纤的四类导波模式的特征方程,掌握四类导波模式与归一化截止频率的对应关系.-Understand the four types of guided wave mode characteristic equation of optical fiber, master the four types of guided wave mode and the corresponding relation of the normalized cut-off frequency.
emvqj
- 数据模型归一化，模态振动，毕业设计有用，LCMV优化设计阵列处理信号。- Normalized data model, modal vibration, Graduation useful LCMV optimization design array signal processing.
kiu-V7.7
- 计算多重分形非趋势波动分析matlab程序,Pisarenko谐波分解算法,数据模型归一化，模态振动。- Calculation multifractal detrended fluctuation analysis matlab program, Pisarenko harmonic decomposition algorithm, Normalized data model, modal vibration.
4834
- 数据模型归一化，模态振动，多抽样率信号处理，wolf 方法计算李雅普诺夫指数。- Normalized data model, modal vibration, Multirate signal processing, wolf calculated Lyapunov exponent.
1501
- 各种资源分配算法实现，数据模型归一化，模态振动，最小二乘回归分析算法。- Various resource allocation algorithm, Normalized data model, modal vibration, Least-squares regression analysis algorithm.
3
- 对基于LMS(最小均方)、NLMS（归一化最小均方）、RLS（递归最小二乘）算法的自适应噪声抵消系统进行MATLAB仿真，发现这几种算法都能从高背景噪声中有效地抑制干扰提取出有用信号，显示出了良好的的收敛性能，相比之下RLS算法去噪效果较好，呈现出更快的收敛速度，更强的稳定性和抑噪能力(the principle of LMS (minimum mean square), NLMS (normalized least mean square), RLS (recursive least squa